본문으로 건너뛰기

Creating AI Agents on AWS

Sowjanya Pandruju, Cloud Application Architect at AWS, teaches you how to develop and deploy AI agents using AWS.
Sowjanya Pandruju
Sowjanya Pandruju

무료 계정 만들기

실습 문제하고 트랙하세요.

Google로 계속하기계속 진행하시면 다음 사항에 동의하는 것으로 간주됩니다: 이용약관 및 개인정보 처리방침 그리고 귀하의 데이터가 미국에 저장된다는 점에 동의하는 것으로 간주됩니다.

As AI agents move from experiments to production, engineering teams are looking for cloud-native tools that can support real-world deployment at scale. AWS offers a flexible and powerful ecosystem for building, orchestrating, and scaling AI agents—if you know where to start.

In this code-along, Sowjanya Pandruju, Cloud Application Architect at AWS, teaches you how to develop and deploy AI agents using AWS. You’ll explore the core architecture of modern agents, walk through essential AWS services, and learn how to take your project from prototype to production. This session is ideal for AI engineers looking to operationalize their agent workflows.

Key Takeaways:

  • Learn which AWS services support agent development, orchestration, and scaling.
  • Understand the architecture of production-ready AI agents.
  • Discover how to productize and scale agents using cloud infrastructure.

Session Resources (Including GitHub Repo)

주제

관련

튜토리얼

The Complete Guide to Machine Learning on AWS with Amazon SageMaker